I am Anye Igwacho, an EEE with 5+ years of experience building dashboards, automating workflows, and delivering data-driven insights across healthcare, AI systems, and public-sector organizations.
Data, AI, Engineering & Social Impact
Data Analyst with strong experience in SQL, Python, Power BI, Tableau, ETL workflows, and automation. My background in Robotics and Electrical Engineering gives me a systems-thinking approach to analytics, machine learning, and scalable solutions.
M.Sc. Robotics Engineering
Aalborg University, Denmark
B.Sc. Electrical & Electronics Engineering
TED University, Turkey
🇬🇧 English — Fluent
🇫🇷 French — Conversational
Technologies & Analytics Expertise
SQL, Python, Pandas, NumPy, Excel, Statistical Analysis, Regression Modeling
Power BI, Tableau, Dashboard Development, KPI Monitoring, Reporting Automation
ETL Pipelines, Data Cleaning, Data Warehousing, Workflow Automation
SVM, Random Forest, Predictive Modeling, Biomedical Data Analytics
Professional Journey
Built integrated AI-agent workflows using OpenClaw, optimized prompts, evaluated automation performance, and improved workflow reliability.
Developed dashboards, tracked KPIs, and managed ETL workflows for reporting and operational decision-making.
Queried healthcare datasets using SQL and Python, automated reporting workflows, and improved operational efficiency.
Built predictive models and machine learning systems for engineering and biomedical research datasets.
Analytics, Machine Learning & Research
Developed machine learning models including SVM, Random Forest, and Naïve Bayes to classify MRI scans with 86.7% accuracy.
View Project →
Implemented the Pan-Tompkins algorithm for heartbeat detection and cardiovascular feature extraction.
View Project →
Built regression models analyzing the impact of foreign direct investment on GDP growth in V4 countries.
View Project →
Built machine learning pipelines using Logistic Regression, SVM, and Neural Networks for biomedical risk prediction.
View Project →
Applied enhancement, filtering, and edge-detection techniques to biomedical image datasets.
View Project →Let's Build Something Impactful